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DeepSeek-V3 vs GPT-5
Comprehensive side-by-side LLM comparison
GPT-5 leads with 25.5% higher average benchmark score. GPT-5 offers 265.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $9.88 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
7 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($9.88 cheaper)
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GPT-5
Input:$1.25
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:59.8%
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GPT-5
Average Score:85.3%(+25.5%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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GPT-5
Coding74.9%(+32.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-5
2024-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-5
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DeepSeek-V3
Avg Score:59.8%
Providers:1
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GPT-5
Avg Score:85.3%(+25.5%)
Providers:2